V2 Walk-Through a Stitched Image

G. Kiran, M. S.
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引用次数: 1

Abstract

In imaging devices, there is a trade-off between the images (snapshots) and video because of the limitation in storage capacity. Video clips need more storage space compared to images. This motivated to generate the video from a single stitched 2D image rather than storing video clips. Humans analyze varieties of cues from a single image and act accordingly, unlike robots. Creating a vertical virtual walk-through a Single stitched large sized image is proposed in two folds: In the first phase, the input images are stitched to form a single large sized image of a scene and in the second phase the virtual walk through the stitched image is rendered. The algorithm is tested on a set of nearly 400 images obtained from both indoor and outdoor scenes. The presented approach is computationally efficient and has been verified extensively by experiments. Since the proposed algorithm is completely automated it is amenable for implementation on robotic platforms.
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V2演练缝合图像
在成像设备中,由于存储容量的限制,需要在图像(快照)和视频之间进行权衡。视频剪辑比图像需要更多的存储空间。这促使我们从单个拼接的2D图像中生成视频,而不是存储视频剪辑。与机器人不同,人类会从一张图像中分析各种各样的线索,并采取相应的行动。创建垂直虚拟行走通过一个单一的拼接大尺寸图像提出了两个折叠:在第一阶段,输入的图像被拼接形成一个单一的场景的大尺寸图像,在第二阶段,虚拟行走通过拼接图像被渲染。该算法在室内和室外场景的近400幅图像上进行了测试。该方法计算效率高,并得到了实验的广泛验证。由于所提出的算法是完全自动化的,因此可以在机器人平台上实现。
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